{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a46364e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.00      0.00      0.00         6\n",
      "           1       0.00      0.00      0.00       122\n",
      "           2       0.92      1.00      0.96      1414\n",
      "\n",
      "    accuracy                           0.92      1542\n",
      "   macro avg       0.31      0.33      0.32      1542\n",
      "weighted avg       0.84      0.92      0.88      1542\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings \n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# 设置字体和解决符号显示问题\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 读取数据\n",
    "data_path = \"Q2.xlsx\"\n",
    "data = pd.read_excel(data_path)\n",
    "data.columns = data.columns.str.replace(' ','')\n",
    "\n",
    "# 填补缺失值\n",
    "data_filled = data.fillna(0)\n",
    "lifestyle_cols = ['是否吸烟','开始吸烟年龄','平均每周吸烟天数','一天吸烟支数','被动吸烟天数','是否饮酒','饮酒年数','是否饮用高度白酒','饮用频率']\n",
    "diet_cols = [ '是否吃小麦面粉', '食用小麦面粉的频率',\n",
    "       '是否吃杂粮', '食用杂粮的频率',  \n",
    "             '是否吃油炸面食', '食用油炸面食的频率', '是否吃猪肉', \n",
    "       '是否吃牛羊肉', '食用牛羊肉的频率']\n",
    "target_col = '有没有被社区或以上医院的医生诊断过患有高血压'\n",
    "\n",
    "# 将数据划分为训练集和测试集\n",
    "X_train , X_test ,y_train,y_test = train_test_split(data_filled[lifestyle_cols + diet_cols],data[target_col],test_size=0.2,random_state = 42)\n",
    "# X_train , X_test ,y_train,y_test\n",
    "y_train\n",
    "\n",
    "# 训练模型\n",
    "gbm =  GradientBoostingClassifier(random_state = 42)\n",
    "gbm.fit(X_train,y_train)\n",
    "# 预测测试机\n",
    "y_pred = gbm.predict(X_test)\n",
    "\n",
    "# 输出分类报告\n",
    "print(classification_report(y_test,y_pred))\n",
    "\n",
    "# 获取特性重要性并创建一个DataFrame\n",
    "feature_importances = gbm.feature_importances_\n",
    "feature_names = X_train.columns\n",
    "feature_importances_df = pd.DataFrame({\n",
    "    '特性':feature_names,\n",
    "    '重要性':feature_importances\n",
    "})\n",
    "\n",
    "# 使用senborn创建水平条形图，只显示前20个最重要的特性\n",
    "plt.figure(figsize=(10,8))\n",
    "top_20_features = feature_importances_df[:20]\n",
    "barplot = sns.barplot(x='重要性',y='特性',data = top_20_features,ci=None)\n",
    "\n",
    "plt.title('特征与高血压的重要性')\n",
    "plt.xlabel('相对重要性')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "940b1439",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.00      0.00      0.00        11\n",
      "           1       0.00      0.00      0.00        45\n",
      "           2       0.96      1.00      0.98      1486\n",
      "\n",
      "    accuracy                           0.96      1542\n",
      "   macro avg       0.32      0.33      0.33      1542\n",
      "weighted avg       0.93      0.96      0.94      1542\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings \n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# 设置字体和解决符号显示问题\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 读取数据\n",
    "data_path = \"Q2.xlsx\"\n",
    "data = pd.read_excel(data_path)\n",
    "data.columns = data.columns.str.replace(' ','')\n",
    "\n",
    "# 填补缺失值\n",
    "data_filled = data.fillna(0)\n",
    "lifestyle_cols = ['是否吸烟','开始吸烟年龄','平均每周吸烟天数','一天吸烟支数','被动吸烟天数','是否饮酒','饮酒年数','是否饮用高度白酒','饮用频率']\n",
    "diet_cols = [ '是否吃小麦面粉', '食用小麦面粉的频率',\n",
    "       '是否吃杂粮', '食用杂粮的频率',  \n",
    "             '是否吃油炸面食', '食用油炸面食的频率', '是否吃猪肉', \n",
    "       '是否吃牛羊肉', '食用牛羊肉的频率']\n",
    "target_col = '您有没有被社区或以上医院的医生诊断患有糖尿病'\n",
    "\n",
    "# 将数据划分为训练集和测试集\n",
    "X_train , X_test ,y_train,y_test = train_test_split(data_filled[lifestyle_cols + diet_cols],data[target_col],test_size=0.2,random_state = 42)\n",
    "# X_train , X_test ,y_train,y_test\n",
    "y_train\n",
    "\n",
    "# 训练模型\n",
    "gbm =  GradientBoostingClassifier(random_state = 42)\n",
    "gbm.fit(X_train,y_train)\n",
    "# 预测测试机\n",
    "y_pred = gbm.predict(X_test)\n",
    "\n",
    "# 输出分类报告\n",
    "print(classification_report(y_test,y_pred))\n",
    "\n",
    "# 获取特性重要性并创建一个DataFrame\n",
    "feature_importances = gbm.feature_importances_\n",
    "feature_names = X_train.columns\n",
    "feature_importances_df = pd.DataFrame({\n",
    "    '特性':feature_names,\n",
    "    '重要性':feature_importances\n",
    "})\n",
    "\n",
    "# 使用senborn创建水平条形图，只显示前20个最重要的特性\n",
    "plt.figure(figsize=(10,8))\n",
    "top_20_features = feature_importances_df[:20]\n",
    "barplot = sns.barplot(x='重要性',y='特性',data = top_20_features,ci=None)\n",
    "\n",
    "plt.title('特征与糖尿病的重要性')\n",
    "plt.xlabel('相对重要性')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a7132ce0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      0.41      0.58        59\n",
      "           1       0.00      0.00      0.00       126\n",
      "           2       0.90      1.00      0.94      1409\n",
      "\n",
      "    accuracy                           0.90      1594\n",
      "   macro avg       0.63      0.47      0.51      1594\n",
      "weighted avg       0.83      0.90      0.86      1594\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings \n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# 设置字体和解决符号显示问题\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 读取数据\n",
    "data_path = \"Q2.xlsx\"\n",
    "data = pd.read_excel(data_path)\n",
    "data.columns = data.columns.str.replace(' ','')\n",
    "\n",
    "# 填补缺失值\n",
    "data_filled = data.fillna(0)\n",
    "\n",
    "# 定义特征列\n",
    "feature_cols = ['工作主要属于以下何种活动','您做休闲、家务活动的强度','是否参加体育锻炼','平均每天体育锻炼时间']\n",
    "\n",
    "target_col = '有没有被社区或以上医院的医生诊断过患有高血压'\n",
    "\n",
    "# 将数据划分为训练集和测试集\n",
    "train_features , test_features ,train_labels, test_labels = train_test_split(data_filled[feature_cols],data[target_col],test_size=0.2,random_state = 42)\n",
    "# X_train , X_test ,y_train,y_test\n",
    "# y_train\n",
    "\n",
    "# 训练模型\n",
    "model =  GradientBoostingClassifier(random_state = 42)\n",
    "model.fit(train_features,train_labels)\n",
    "# 预测测试机\n",
    "predicted_labels = model.predict(test_features)\n",
    "\n",
    "# 输出分类报告\n",
    "print(classification_report(test_labels,predicted_labels))\n",
    "\n",
    "# 获取特性重要性并创建一个DataFrame\n",
    "feature_importances = model.feature_importances_\n",
    "feature_names = train_features.columns\n",
    "feature_importances_df = pd.DataFrame({\n",
    "    '特性':feature_names,\n",
    "    '重要性':feature_importances\n",
    "})\n",
    "\n",
    "# 使用senborn创建水平条形图\n",
    "plt.figure(figsize=(10,8))\n",
    "barplot = sns.barplot(x='重要性',y='特性',\n",
    "                     data = feature_importances_df.sort_values('重要性',ascending = False).iloc[:3],\n",
    "                     ci=None,\n",
    "                     palette = sns.color_palette([\"#86F9BC\",\"#4AC087\",\"#008955\"]))\n",
    "\n",
    "plt.title('特征与高血压的重要性')\n",
    "plt.xlabel('相对重要性')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "42e51112",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      0.38      0.55        63\n",
      "           1       0.00      0.00      0.00        53\n",
      "           2       0.94      1.00      0.97      1478\n",
      "\n",
      "    accuracy                           0.94      1594\n",
      "   macro avg       0.65      0.46      0.51      1594\n",
      "weighted avg       0.91      0.94      0.92      1594\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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VsGBB+fn5KU+ePAoNDbUmhZMyrsu9f/9+j4cGGzdu1MGDB61wXrlyZTkcDtWrV08TJ070mECtVKlS2rNnjxYsWCCbzaZChQrJy8tLvr6+KliwoPLkyaONGzcqR44catWqlRwOhwoWLChvb+8MM6vnyJFDRYsWtT5X8/f3V7t27TR37lxJaQ8aMntHPikpSZcvX1axYsVUrFgxlSxZUpLUvn17a9/06dMzvN/ft29fazm3xMRE7d27V6GhoRo0aJD1UCMyMlL333+/+vfvb+2LiYnJdDm+a504cUIxMTG6dOmSKlasqNGjRysyMlIJCQkaOXLkTcsDwL2GcA4AwD0iJCREy5cv16lTpzKsy+3n56cPPvhAb731VoZyXl5eCggIUPHixfXII4/8rTosXLhQjzzyiB555BHVrFkz08+jjz6qmjVrSpLOnDnjEc5/+eUXzZo1S926dbP2zZ8/X9HR0apQoYLmzJmjgIAA5cuXT4MGDbLeW792srpffvnFWkYtNjZWnTt3Vv/+/a0h4V5eXpo4caIWLlyoLVu2ZPg5KlWqJKfTqT/++EMVK1b0GOY/ePBgXbp0Sdu3b1epUqVUt25d/fnnn9m6X2+//bY2bNggSYqPj7eWYUvndrv14osvejxUSU5OliRrnfr0z7Zt25SammqVDQwMVEhIiAICAvTXX3+pSZMmio2NVXR0tFauXKnExER1795dwcHBGjJkiPX6QlBQkPLly5etnwcAcH2EcwAA7iF169bNtPdVku677z5NmzbNmlDsTujZs6ecTqfi4uJ05cqVTD/p77pL0smTJz16lM+dO6cnn3zSYyh1XFyc5s6dq3r16snX11ePPPKIRyj98ssvPYaDJyUlaePGjapTp46Sk5PVunVrhYSE6O233/aoa7169dSnTx81bNhQn332WYZh4Zs2bZLdblfVqlWtnvmPPvpIY8aM0ejRo1WgQAHNmTNHlSpVsiagu1ZCQoLOnDljfa5VsmRJa0K9qKioDOH86NGj8vf3V0hIiAoUKKCCBQta9+vFF19UwYIFVbBgQeXLl08BAQFq1qxZpvUoXry4tm7dqjlz5shut2vw4MHKmzevFixYoLp161pD5QEAdw5LqQEAAEnSc889p2XLlunSpUtWD3JmUlNT5XK5dO7cOZ0/f14XLlxQcnKyDh8+rLNnz0qSTp06pcOHDys1NVVJSUnKnTv3Lb97fvbsWUVFRXn0nLdu3drqVU8PxOPGjVN0dLQ6dOhgrU9+9RDulJQUj57tzz//XLGxsXriiSfUpEkTax3xa4ecS2mzvdtsNr3xxhuaNm2a5syZY00s9+mnn6pZs2by9fW1eqRffPFFeXt7q1evXpLSRit8+eWX+u2333T27FmP5dhSU1O1cOFCa3K7q/dn5sCBAwoJCbG24+LiFBISoosXL3oMu09NTVXu3Lk1Y8YMNWjQwOMcTqdTFy5cyHQG/eDgYAUHBys+Pl6nTp1SWFiYatasqR9++EEVKlRQiRIl1LJlS7Vp00Y1a9b0uKfpbeF2u5WamqqzZ8/K39/fqldqaqri4+N16dIluVwuORwO5cmTJ8MSewBwLyOcAwBwD3I6nZJk9VBLacOcFy9erBMnTmjs2LH66aefMg1PycnJSk5O1vz58zVo0CDZ7XZ5eXlZoTk4OFivv/66pLRg7HQ61bFjR3355Zc3rVdCQoJ69uyppKQk7dixQ7lz57bOm65IkSKS0gLfr7/+qg8//FCvvvqqihUrpp9//lk7duzwCMGSPM6xc+dOPf/88ypatKh69uypkJAQlS5dWomJiVq4cKHWrVvnEXaHDBmihx56SN9//731rv6+ffu0cuVKa8h7+vJiRYoUydADn5iYqBYtWqh06dIew+sdDoc6duyoWbNmWftsNpvHUmVLly7VkiVLdOLECW3dulXLly+3vps6dar69esnX1/fDA8WgoOD1alTpwz3NzU1VXa73ZoBvkePHlq6dKkSExN1+fJllSxZUq1atdKvv/6q8uXLS5Jef/11RUZGat68eZo2bZqmTJmiDRs2qEaNGh4/i5T29yoiIkKlSpWSl5eXR72GDBmiIUOGyOVyKTk5WQsXLlSbNm0y1BEA7lU297UzpAAAgH+906dPq3jx4jp06JC1Xne6mJgYFSlSROXKldO4ceMyvK89YsQITZgwwWM5stvpzTff1KFDh1S5cmV16dJF999/f6bH+fv7a/LkyVq+fLm+/PJL5c2bVwsXLtS8efMyzM5+NbfbraioKGvG8as1btxYly5dUp8+fazl0K7n8OHDGe7d9Rw4cEAVKlTwmNV+8+bNstvtqlWrlrVvy5YtqlChgtVDfvToUfXs2VMPPfSQwsLCPJaDux2OHz+udevWqXTp0qpQoYL14ONGIiIiVKhQIY99K1eu1DPPPKOYmBjlzJnTeghwPemvCFw7yz8A3MsI5wAAIIOUlJQbhisAAHB7Ec4BAAAAADCMsUQAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjGlYgSxyuVw6d+6cgoKCZLPZTFcHAAAAgCFut1uxsbEqXLjwbVsWknAOZNG5c+dUrFgx09UAAAAA8H/E6dOnVbRo0dtyLsI5kEVBQUGS0n4Bc+XKZbg2AAAAAEyJiYlRsWLFrIxwOxDOgSxKH8qeK1cuwjkAAACA2/q6KxPCAQAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMPspisA3G2mRW5SgDPQdDUAAACAe0bP0Pqmq3DH0XMOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnP/L/PXXX0pKSjJdjZuKiIjQ1q1bb3rc0aNHde7cOWs7Li5OO3fuVFxcXLaum5ycnK1yAAAAAHAnEc7vkLNnz8pms6lkyZIZPoULF1aBAgU8jnc4HEpNTb3peVNSUpSSkpLpdw6HQy1bttSbb74pt9utY8eO3fBcsbGx6tKli06fPp31H0zSRx99pKFDh3rs69y5syZOnJjlcxw4cECtW7eW0+m84XEffPCBRo0aJUn6+eefFRQUpMcee0wzZ87U008/rbJlyyp37txasWKFR7k1a9bo6aefznC+1q1ba+bMmVmuJwAAAAD8Ewjnd4i/v78k6fjx4woPD/f4/Pjjj/Lz8/M4vnfv3goJCVHevHkVGhqq0NBQ+fn5ydvb29rOmzevcufOrZ9++inD9aKjo9WsWTM99NBDmjRpkvbt26eaNWtq3Lhxcrvd163nV199laEuN7Ny5Urlz5/fY5+vr698fHwyPX7OnDkqXbq0qlSpoqpVq6p8+fJ65513lJSUpAcffFBVq1ZV1apVValSJZUsWVLbtm2TJDmdTq1YsULdunVTYmKifH19VbduXSUkJKh3795yu92aPXu2GjRooICAgAz1SUxMtM7jdDqVlJSkTZs26ZlnnpEkud3umz4cAAAAAIB/gt10Bf6tvLzSnnuEhoZm+C41NVV58uTx2Ddt2jRNmzbN2l65cqVat26tadOmqWPHjje81q5du9S6dWt5eXmpUqVKevvtt+V0OlWuXDn17dtXO3bs0Ndff22F8JSUFCUmJlrB9Oq6bNmyRVOmTPE4/+zZs+Xt7S1JOnXqlLZs2aL58+crKSnJegjh5eUlm83m8TO63W7Z7XZ16NBBHTp0kCTNnz9f/fv3186dO5UzZ05J0tChQ9W4cWPVrFnT47qff/65fH191alTJ1WuXFndu3eXj4+PdW8vX76soKAgSfK49qpVq+Tv7y+73a5ff/1VEydO1G+//aa4uDh5e3urUaNGkiSXy6XKlStr7ty5N7y/AAAAAHCnEc7vkPTge+nSJdntnrd5165dat68eablkpOTNWLECI0ZM0ZOp1OPP/64vvzyS7lcLnXq1CnTXu4SJUqoR48eKlSokMaNG6eGDRuqU6dOCggIUEJCgubMmSOXy2Ud/8cff6hOnTry9vaWzWZTwYIFlZqaquDgYI0cOVLh4eF68803JUlt27bV119/bZX96quvVLx4cV28eFFVq1aVn5+foqKiFBsbK0kaNGiQAgMD5XK5NH78eLVu3doqO2LECI0fP17Dhg3T8uXLFRcXpytXrmjt2rX64IMPNGDAAA0aNEh2u11nz57V8OHDtW7dOlWtWlWpqanat2+f9u3bp4YNG+rll1/W0aNHdd9998nb21vbtm1T4cKFdf/996tt27ZauHChTp8+re7du2v16tXKnz+/wsLC1LJlS4WFhWWvUQEAAADgDiGc3yHp4bxcuXIZvnM4HBmGU7vdbi1atEiDBg2S2+3W999/r6ZNm0pKGyI/ZMgQDR06VG+//bZ69OihwMBAffbZZxo9erT8/Pzk5eUlt9utP//8UzExMVq6dKnH+X/88Ue1aNFCEyZMUOXKlRUTE6O9e/eqZcuWCg8P144dO9S1a1f5+vqqaNGiatOmjSRZAV5Ke0f9888/V+7cuVWxYkVFRERIkp544gldvHhRNptNTz/9tD766KNM70n58uXVs2dPeXt7y+VyqXDhwipXrpwaNWqkHDlyaMqUKUpKSlLOnDmVL18+vfHGG2rYsKH8/Pz09NNPq3v37qpSpYrWrl2rb775Rk8++aRy5Mih559/Xl988YX+85//qEyZMkpMTFSOHDl09uxZbdu2Tf3799d3330nh8OhdevWqVOnTlqzZo3q1q37N1oYAAAAAG4fwvkdUqRIEV28ePG636cPzZak9evXq0uXLkpKSlK/fv3UrVs3xcfHW9+3b99eL7zwgmbOnKlBgwZp2rRp+uOPP9S1a1e9+uqr8vPz07x58zRgwADt3btXpUuX1m+//aZZs2bJ7XZr6tSp8vHxyTDhXGRkpPLmzSspbYh4SEjIDX+mwYMHq0qVKjp58qS179SpU9q3b5+ee+455c2bV3PnztXw4cMzvAMuSTly5PDohb9Wly5drKHuvr6+GjJkiBITE1WmTBl17txZu3bt0uXLl7V69WqlpqbKbrerc+fOktKCf+vWrXXu3DnlypVLiYmJql+/vipXrqzp06erVKlSio2N1ZgxY1SnTp0svWfvcDjkcDis7ZiYmJuWAQAAAIDsIJzfZpGRkSpdurRy5szpMUFa+vJm6e9oS/8v/J05c0bDhg1T27Ztrxsa7Xa7unTporCwMO3fv986986dOzVixAg5nU6tXbtWmzdvVsuWLVWpUiXNmzdPffv2VZUqVTR8+HA9++yzHuc8ceKESpUqJUm6cuVKhvfgr1WgQAGNHj1aL7zwgrVvwIABeu211+RwOFS8eHE1aNBAI0aM0MiRIzOUdzqdqlatmhYtWpThu4EDB2ZYHq169eo6e/as/Pz8tHPnTnXp0kWxsbHas2ePmjZtqkmTJmnNmjU6evSo+vXrJymtp3/o0KH666+/rPf9z507p0mTJmnz5s3WuW02mxW8r3fPR40apWHDht3wngAAAADA7UA4v83y5s2r6OhoSWkTmlWsWFF169ZVv3795O/vn2EJsnTt2rXTgAEDNGrUKKtX3dvbW2XKlLGOSU1N1alTp1S7dm1J0pIlS/T+++9r4MCB+vHHH1W/fn01atRI33//vU6fPq2KFStqzpw5atasmXr06KH//ve/mjp1qnW+3bt3q3LlypLSes5vFs779eun8PBwa/urr77Spk2btHfvXg0fPlySNGbMGFWrVk3FixdXt27dPMrb7XbrHfJrnT9/3uoFT7dz507169fPo+e8ePHiVhCvXLmyDh06pN27d6t+/fqS0h4gvP766xo+fLgVvvfu3avY2Fg1bNjQulaLFi1kt9tVvXp1ff/995n+vP3799fbb79tbcfExKhYsWI3vEcAAAAAkB2E8zskOTlZQ4cO1ezZs619EyZM0MyZM+VyuZScnKxmzZrpyy+/tL738/PTc889p2+//TbD+eLi4hQUFOTRG9+qVSu1atVKUlovc2BgoJYvX64ePXooNTVVkyZNstYAP3DggHx9fa2ybrdbq1at0pw5cyRlLZxfbezYsfrwww+1ZMkSBQYGWvtDQ0O1aNEiNWnSRIcPH9aECRM8ytWtW1czZszIcL70tcyvJzIyUpJ04cIF9enTR40aNVLz5s01c+ZM7dq1SwsWLPA4fseOHdq6daveffddjR07VvHx8dbQ/Tp16mjChAny9fW1Hk5kxs/P75aXmQMAAACA7CCc3yHz5s1TZGSkhg8frgcffFCS9Oabb16351zyfA/9VmzatEkvv/yyUlJS1LhxY3388ceqWLGiJkyYoPbt2+u5555TcnKyteyYlLZUm9vt1qOPPipJioqKUr58+SRJ3333nb777rsb1snPz0/Lli3Tt99+qw4dOig2NlZ+fn4aO3as+vTpo19++SXTsuvXr8+wZFr69Xv06JHptcaMGaPt27dr2bJl8vX11eOPP6569erJ29tb3bt31yOPPOIxwiA2NlabN2+2lphLn43+p59+0s8//yxJioiI0KuvvqqlS5eqVq1aWbnNAAAAAHDHZC8N4obOnDmjPn366JtvvlHdunX1n//8R0uWLNGpU6d07NgxnT9/XufPn9eff/6pX375RZcuXZKU1pu9cOFC+fv7Z/hktl56uscff1wbN260lmibM2eOKleurMuXL+vAgQOaOnWqR694fHy83nnnHfXt21eJiYnavn271q1bp1KlSiklJUUtWrRQRESEIiIi5HK55Ha7rbLp22+88YYee+wxTZ48WWfOnNFLL72kIUOG6M8//1TPnj113333We+zX122cePGOn78eIZPu3btMg3z+/fvV7169TRlyhTNmjVLZcqUUZMmTfTf//5XTz31lKpWrarDhw+rf//+OnPmjCRp8uTJatq0qcqWLasffvhBDodDkyZN0qxZs6zzFipUSJMmTVKbNm2s+w8AAAAAptBzfpslJCSofv36at68ucLCwhQWFqZOnTpp/vz5Wr9+verWrasrV65YE8QFBQXpr7/+kpQ2YVrbtm1vOKw9OTnZY390dLQaNWqkAwcOqECBAqpXr54aN26sCRMmeEw+d7XJkyfL29tbXbp0UWJiotq1a6c6deqoWbNm1sOBggULSpJq165tzYwupQXszM7rdDozLA+X2TGZSb8/S5YsyfDd559/rhIlSshmsylHjhxyOp3av3+/3n33XfXt21ft27fX5cuX1adPH+3bt08Oh0Pjxo3Tjh07JKXNJj958mStX79ehQsX1uDBg7V7924FBgbqueee04oVK7R37141aNDghnUHAAAAgDvJ5r66WxS3xbFjx1SqVCkr0GZVdHS0UlNTb+ndbyktgObJk8dahiwrsrJ02j/l8uXLCggIuO7DhFuRkJCgDRs2qEmTJpLSHiacPn1aJUqUkCQNGTJERYsWVZcuXW753DExMQoODtZHf/6ogKDAmxcAAAAAcFv0DK1vugoe0rNBdHS0cuXKdVvOSTgHsohwDgAAAJhxL4Rz3jkHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIbZTVcAuNu8lvdx5cqVy3Q1AAAAAPyL0HMOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADDMbroCwN3m1RWfyCeHv+lqALiN5jXvZ7oKAADgHkfPOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDbimcp6amauzYsda2y+XSqlWrrO2EhASVLl369tUOAAAAAIB7wC2Fc5vNptGjR1vbLpdLbdu2tbYDAgJuX80AAAAAALhH3FI49/Lykre3t7Vtt9vl7+9vbdtsNtnt9ttXOwAAAAAA7gFZStL16tWTn5+fvLy8FBsbq2eeecb67tptAAAAAABwa7IUzjt37qyAgAB5eXlp69at6tq1qyTJ7XZn2H733XfvXG0BAAAAAPgXytKw9pdeeklFixbVY489Jj8/P7Vo0cL62O12688tW7a8w9WVtmzZosuXL2fYf/bsWcXGxt6267jdbrVv315HjhyRJCUmJio1NfW2nf9mjh07ptWrV2f5eLfbrT/++OMO1ujm1//www918eLF6x6zYMECRUZGeuybN2+ezp49m+HY5ORkJSUl3bb6bdy4UeHh4bftfAAAAABwO2X5nfP3339fxYoV05UrV9S1a1etX79eCQkJypMnj3WMy+VSSkpKli8+fvx4ffzxx5Kk7du3a+DAgXK73Tcs06FDB23atEmHDx9WiRIlrP2ffPKJOnXqlGmZOXPmqFmzZh5h79NPP1VYWNh1r2Oz2RQQEKAOHTooJSVFtWrVkt1ul81my/C5E6Hvhx9+UJcuXW56P64+vnr16jpx4sRNj3U6nXrrrbcyrXdKSooOHz6sefPm6bXXXlNERIT13bUPJ1wul1wul6S0+zV06FDFxcVles3k5GS1a9dOUVFRHufr0aOHDh48mOH4lStX6sEHH1TVqlVVvHhxderUSSdPnpSPj48qVqxofYoVK6bnnnvupj/z+PHjNWbMmJseBwAAAAAmZHn2tnXr1snlcmnfvn36+OOP1atXL02cOFHHjh2zjklKSsryjO0rVqzQ4MGDtXbtWsXFxenll1/Wc889J5vNdt0y27ZtU2pqqpo3b65Tp07Jx8fH+m7nzp167733Mi23ePFi5c+f32PyOh8fH/n6+t6wju+9954GDx4sSdq8eXOGCfGktBnqr65HdvTv31/z58/32OdwOHT+/HmVKFFCXl6ez1COHDkiPz8/a/vixYt64403ZLfb1axZM2t/SkqK4uLi9Omnn6p169Ye57Db7Xr44Yc1e/Zs7dixQxs2bFBERITOnj2rChUqqHbt2qpYsaKuXLmiQoUKSZK6dOmiBQsWyN/fXy6XS/Hx8Zo4caL1WoO3t7eCg4Mz/RmPHj2qcuXKqWzZsta+rVu3KmfOnLrvvvt0/PhxSVLu3LkVGhqq5s2bq3nz5pKkWbNmadu2bfL391fevHk9wvy3336rFStWeFzr448/1rhx4zzuUWJiopxOp1auXCkp7WFBXFycoqKiMrQpAAAAAPzTbmlq9R9//FE9evRQ9erV9fvvv2cI0jly5NDvv/9+0/N89913euWVV9ShQwdVqFBBLVq00KVLl7Ro0SJNnjxZQUFBypEjhyIiItS2bVtNmTJFUlrv+IsvvpghrF65ckXbt2/XlStXtHDhQkmylng7c+aMli9friVLlsjhcMjX11c2m01eXl4e53G5XHK73fL29taVK1cUFham2bNn65tvvpEkBQUFKSwsTGPHjlXx4sU9rv93w11cXJzatWunDz744IbHXbp0Sfny5fN4qPDXX3/pmWeeUY0aNbRlyxZ98803qlKlihwOh5566ik98sgjGYK5r6+vPvroI1WpUkW+vr5q166dWrdurdKlS6tLly5q3LhxpqMQZsyYoRkzZnjs279/v9577z35+PgoJSVFo0aNskJx//79FRgYqCeeeEJ79uxRUlKSQkNDJUl//vmn5s6dK7fbraZNm0qSoqKi1KlTJ40dO1Zut9v6u3T27Fm53W4lJSUpMjJSFStWtK4fHR2tWrVqedQpJSVFrVq10ueffy6n06kFCxYoLCxMdrtdDodDX375pbp27fq3H6oAAAAAwO1y03AeExOjDz/8UP7+/oqMjFTLli1VoEABjRgxIsOxKSkpSkpK0tixY697vqNHj2r8+PF66623dOXKFS1evFglSpTQZ599pgceeEDPPPOMunfvrjJlymjr1q3We+x//PGHlixZosmTJ6tp06b67bffdPHiReXLl09t27ZVlSpVdOzYMX3wwQcaN26cdb2PP/5Yqamp8vHx0SOPPKLTp0/LZrMpKipKbrdby5Ytk5QWzkeNGqWuXbvK399fq1evzjCMe8WKFRo6dGhW7ustCQgIUHBwsH7++We1bdtWOXPmVEJCgiQpMDBQLpdLCQkJOn78uDp27Kjk5GT5+voqJSVFTZs2VbVq1fTFF19oyZIleuaZZ/TFF19o3LhxKl68uKZPn57hegcPHlSpUqXUrl07paSkyGazXfcBQ3JycqYjBq6ue/HixeXn5ye3261SpUrJ19dXXbp00YABAyRJCQkJWrp0qZ544glJaUPg4+Pj9f3332vPnj0qVqyYJOmDDz6Qw+GwylSqVEmBgYGS0uY9KFGihJKTkyVJjRs3Vr9+/axzXstms1nzBLRv314vvviipLSh9L1791aXLl2UlJTkMZoCAAAAAEy5aTh3u91WYAoKCpLNZpPD4cj0XeiUlBQrPF3P/fffr61bt+qzzz7TlStX1KlTJzVt2lSVK1fWDz/8IF9fX/n4+Oizzz7T6dOn1aFDB0nS22+/bfV0Llu2TOHh4WrQoIGOHTumhx56SK+99ppee+01jR49Wm+++aYk6fTp05o1a5bKlCkjSdq7d68k6dSpUypVqpTcbrfmzJmTYSm49MDm5eWlChUqWAE2Pj5eTZo0kd1ul9Pp1Lp16252+7Lk6ocZERER+vzzzzVixAgtXbpUNWvWlJT2nvju3bs1a9Ys61i73a6NGzcqR44ckqT//Oc/1kiEatWq6dNPP8103fnhw4dr9+7dmjlzpg4ePKhRo0ZZ4fvixYtat26d9RAiNTVV48ePl8PhUJ8+feTn56f4+HgFBgYqJSVF+fPn1549e+R0OtW1a1d1795dCQkJ6tGjh/WKw7UjHSRp9OjReuqpp6xgLqU9CEi/9+l/jy5fvnzLPdxut1s+Pj5q2LChoqOjJUkPPfSQ9Z0k1ahRQ8nJydq+fbuCgoIyPY/D4bD+7ktpD6oAAAAA4E64aTgPDg7WhAkTJKW9U16yZEmVLVtW5cuXV9u2bdWwYcNbvujVvbAOh0Nt27bVW2+9pRo1alj7P/vsM7Vt21ZhYWF65513dPjwYav382qnT59WVFSUNm/erLZt23oErQkTJqhTp07as2ePR5mZM2daIXDIkCF6+umnr/uu++LFi+Xl5aWxY8fqyJEjmjFjhooXLy6Hw+ERLP+uCxcuaPHixfr8889VpkwZ2e12a1b6hIQEvfjii/rjjz+0Y8cO5c6dW5K0aNEinTp1Sr///rv++9//ysfHR48++qhWr16tbdu2qWbNmgoICFDZsmWVP39+tW/fXo8++qi+++47TZ48WS+99JIOHDigHj16WPUICwu77rD2l156Sb/88ovat2+vY8eOedyzyMhIhYaGymazKTY2Vjlz5rzhz9upUydFR0erW7du1msLycnJVvvFxsbKbrd7BPNevXppyZIlCgkJ0cmTJ/Xyyy8rMDBQhw8f1pEjR3TfffdJSvt76ufnpy1btighIUGBgYFatGiRpLSHHBUqVNCePXsyfWhwtVGjRmnYsGE3PAYAAAAAbocsz9YupfUoHzx4UE2aNFG1atXkdru1adOmbF3Y4XAoOTlZGzZsUPXq1dW3b1+NGjVKu3fvlp+fn7y9vTV37lz16NFDjz76qDZs2GD1EPfv31+PPPKI/P39VbZsWU2bNk379u3TmTNnPALzsGHDNGjQII/rxsbGavLkyXr11VfVvHlznTt3Tl988cV161muXDnlzJlTP/zwg3x8fHT8+HENGTJE999//00nlMuqgQMHqlixYtq4caO+/vpr9ezZU76+vnrppZc0e/ZsPfjgg/Lz89PBgwetYC6lPZg4duyYHn30Ua1cuVLHjh2T0+nUxo0bNXToUB07dkyLFi3Ss88+q8KFC+uBBx6QlDbku1evXlq9erXHpGlZMW/ePHXu3FlRUVHq0aOH1RN96NAhlSxZUlLaPU4fjp6uRYsWCg0Ntd45L1++vGrWrKkff/xRq1atkvT/QrWU1mP/6KOPql+/fnr22Wet1w8GDRqkgwcPqnbt2lbPf+7cuT3aIj4+3rqOJHXt2lXjxo3TuHHjrAnssrKqQP/+/RUdHW19Tp8+fUv3CgAAAACyKssTwg0dOlQDBw5UaGioJk2apPDwcNlsNuXLl89jeaysqlmzpv7zn/+ocePGaty4sfbu3auQkBANGzZMdevWVUJCghISEtSgQQNJUqlSpayyPj4+6t27twYOHGjNAB4bG6v169frwQcftI7LrPd25MiRql27th544AH9+uuvGjlypHr16qXatWurSpUqGY53uVx69dVX9fbbb2vs2LGqXr26Jk+erJ49e2Ya6k+ePKnff/89w1D5G3n77bf12muvKT4+XsOHD9fp06e1fPlyderUScOGDdMrr7yiX3/9NcPDgLfeeksTJkzQ2LFjrR7mU6dOKSgoSD/++KN1XI0aNTJM5CalzUZfp04dhYaGqm/fvsqVK5eSk5O1detWDR06VNHR0Ro9erQ1G3tUVJSWLl2qffv2KXfu3Nq+fbu+++47hYWFaffu3apWrZokZdpzfu0751Law57u3bvrk08+UePGjT1m+y9ZsqT14KdVq1by8vKSy+XSiBEjNGnSJI+e8ytXrigxMdG6VkREhKpWraoBAwZowYIFkuTxsCAxMVGDBg266dJqfn5+t/zwAgAAAACyI8s953PnzrXeX/bx8dHYsWM1evRoORwOjRw5UiNHjrR6vrNi6dKleuihh9S4cWMdPnxYEydO1KpVq9S+fXt5e3trxowZatSoUabv+V47HNlms6lhw4YaMWKE6tWrd91rbtq0SRMnTvSYFb1jx456/PHH9cwzz2SYad7tdqt37966cuWK3n33XUlpM9J///33+uabb7Rx48YM14iNjdXzzz+vP//8M0v3QZI2bNigjh07qkGDBmrQoIHmzp2rnj17qnDhwgoODtY777yjvXv3asOGDRnKdunSRXv37tX+/fu1YMECJScna9euXTp48KAOHjyoDh06ZLr2+P79+7Vt2zZ17dpVXl5eevbZZxUeHq6zZ8/q9OnTCg8PV6NGjaw2d7lcev3111WpUiX9+OOPGjp0qNxutwYMGKDk5GQtXLjQWsYtK8Pa03Xq1Ml6/z8hISHTpdiio6OVO3duOZ3OTHvOU1JSdP/991vHHz9+XEWLFtWHH36oQ4cOKXfu3BozZoz27t2rqVOnyul0Wu0JAAAAAP8XZDmcXxuIU1JSrInSkpOTlZycrKioKLVr1+6m59qwYYO+/fZbhYaG6tChQ3K5XJoyZYqio6O1du1aud1u9erVS1WqVFHz5s2VlJTkUd7lcumzzz5TxYoVdeLECTmdTtWoUUNXrlzxWGbran/99Zfatm2rDz74QBUqVPD47ptvvlH+/PnVo0cPjwntdu3apTVr1mjJkiXWJHCpqakqWbKkdu7cmelM4RUrVtRTTz2lXr163fQ+pCtZsqTatGmjvXv36tKlS2rSpIn69++vcePG6cKFC/L399f48eP17LPP6rvvvvMoGxgYqICAAEVFRemVV15Ru3btrHXJpbR3wa/eTvfuu+/qnXfeUe7cuW+4tnz6/AApKSnauXOnEhIStHfvXhUpUkTjx49XiRIl9MEHHyg+Pl5PPfWUpMyHtV9PsWLFNHXqVNlsNl2+fFm5cuXKcEx0dLSCgoI0cuTIDPMOnDlzRv369bO2Y2JitH//fj388MOS0ibN+/rrr9WtWzdNnDhRL774ohYsWKC8efNmqX4AAAAA8E/I0rD2OnXq6OzZs6pfv77cbrcuXLigwYMHS5ImT56sIUOGWMfOnj1bbrf7uoHP5XKpf//+Gjx4sHLkyCFfX19r/fE1a9bIx8dHI0eO1NmzZzV16lQNHjzYmsXb5XLJ5XLJz89P/fv315tvvqkVK1Zo8+bNGjZsmN588021bt1aS5YsUeXKla1rJicnK1++fNqyZYvKli1r7Ut/Xzo4OFgbNmywJiBLHyKdvp57+nByHx8fa3m1AgUK6MiRI5KUYbj522+/rTp16mjVqlVq3LhxVm6xjh07pqpVq6pdu3bavn27bDabpkyZovz580tKW7f90qVLat++vWJjY9W5c2dJaWuff/fddxozZoxKlCih8ePHS5K11Nzq1av18ssve1xr+vTp+u2337R48WJJaSMEFi5cmGEkwIULF9SoUSPrZzx8+HCGdh02bJiaN2+u1atX6+LFi9q2bZumT59uzZAvpQX7Fi1aeEzudu0739HR0dq3b59HuXQXL15UUFCQ8ufPr+TkZP3555+Kjo7Wjz/+KKfTqc8//1wPPfSQnnvuOc2YMUOPPfaY1XOfmJioEydOqEiRInrrrbdUrVo1HTlyRDly5FChQoUUEhJyw4cTAAAAAPBPyFI4Hz58uDp16qTRo0fL5XKpdevWGY7ZvHmz8ubNa60jfj2pqal6+eWX9corr0hKC/7169dXaGiofHx8rNA8c+ZM+fj4aNSoUVZZp9Op5ORka/1sSdq4caPWrVun//73vypfvrzKly+vDz/8UN9++61Vjxw5csjb29tj6HN0dLRHj/zVE63FxsZaf746eKcvyyWlzZTepUsXValSRXny5PH4GWvXrq3p06erdu3a170PV1u1apWSkpK0Y8cOFSlSRFFRUSpcuLCKFSumuXPnWsd1795d9evXt36OTZs2qX79+nryySf12WefqVmzZtYIh+XLl2vevHl68MEHM/Q2h4eHa/DgwVbvdnJystq2bauvvvrK47iwsDCPpcSubdfU1FSNHDlSn376qTVyYdSoUapSpYrHevBPPfWUvv76a5UvX16S1K9fP6tH/q+//lLDhg2tYejpM65LUs+ePbV582YFBQUpT548Klu2rE6cOKH77rtPtWrVUtmyZfXwww/r8ccfV//+/dWmTRs5nU698cYbWrRokQYPHmxNLDdw4EDVrVtXa9as0YoVKzR27FgdOnRI3bt318SJE7PUTgAAAABwp9jcmS1YnokyZcroyJEj8vb2VsmSJRUeHi5Jyps3r5YsWaKOHTtq5syZmQ71zoob9bbfSHx8vPz8/DJdz/tOio2N1cmTJ1WhQoU70vMaHh6uEiVK3PTcp0+f/ttLuqUP10+fjO1WZLfdsmLVqlWKjY1VkyZNlCNHDm3evFn333+/ChQokOHYkydPqkSJEta20+lUXFxchgcnV0tOTlZqaqq1rN7NxMTEKDg4WG3mD5FPjqyVAXB3mNe8380PAgAA+P+lZ4Po6OhMX83Njiwn2o4dO8rlcsnb21sJCQlKTEyUt7e3ypQpo0cffVRHjhz5W0uLZTfgZfXd5tstKCjouu+33w7py5LdzO1Ya91Eu2XFta8EPPbYY9c99upgLqX9TDcK5lLaawpXD7UHAAAAAFOyHM7T1wtv3769zpw5I19fX40cOVIffvjhP95rDQAAAADAv0mWUvXSpUutd7K///57vfrqq/Ly8lJMTIxGjRpl9by63W45HA5r1m4AAAAAAHBzWQrnH3/8scfkYWPGjLG+++233/T+++8rKChIbrdbiYmJhHMAAAAAAG5BlsL5zz//rG3btsnf31+//vqrVq5caX3Xp08flSlTRt27d79jlQQAAAAA4N/MK6sHbtiwQR06dFB8fLzq16+vL7/8UpLUunVrLViw4I5VEAAAAACAf7ssz+Q2YMAADRgwQElJSdq5c6c1CVz16tX1zTff3LEKAgAAAADwb3fL06z7+/t7LGnl4+OjwoUL39ZKAQAAAABwL8nysHYAAAAAAHBnEM4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMMxuugLA3Wb6M28rV65cpqsBAAAA4F+EnnMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGF20xUA7jYlhr4km5+P6WoYEzXqe9NVAAAAAP516DkHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMOyeCOdut1uJiYlyu93XPcblcikxMfGm54qMjJTL5brpceHh4YqMjMxyHV0ulxwOx3Xr6Ha75XA4lJqamuVz3oqIiAht3br1pscdPXpU586ds7bj4uK0c+dOxcXFZeu6ycnJ2Sp3M59++qk++ugj6xqJiYl37N4BAAAAwN91T4TzqKgo5c+fX6GhodYnICBAAQEBHvseeeQRj3JTpkxR/fr1PfZ17txZ/fv3v+k1u3XrpqFDh173+9TUVI+Qv3//fvn7+8vLy0s2my3Dx8vLS/7+/lq5cmWGc3300UcZrtW5c2dNnDjxpvVMd+DAAbVu3VpOp/OGx33wwQcaNWqUJOnnn39WUFCQHnvsMc2cOVNPP/20ypYtq9y5c2vFihUe5dasWaOnn346w/lat26tmTNnZrme1xo2bJhat26dYX+lSpU0YMAA7dixQ999953y5cvn0dahoaHy9fXVlClTsn1tAAAAALhd7KYr8E/ImzevYmNjlZSUJH9/f0nSm2++KUmaMGGCpLSe7qJFi3qU8/f3V0BAgLXtcDi0adMmffrppze83oIFC7Rp0yYdPnxYP/30U4bvXS6XEhIS9M0336hRo0aSpIoVK+rKlSvy9fWVzWaTJIWGhmr37t0qUaKE1fufM2fODOdbuXKl2rRp47HP19dXPj4+mdZvzpw5Gjp0qIKCgmSz2eRwOOTj46OkpCQ9+OCDVrnU1FTFxsZq3rx5evTRR+V0OrVixQpt2rRJiYmJ8vX1Vd26dbVhwwZ5eXlp+fLlmj17tj755BOP+5Zen/SRCekPAFwulzZt2qQvv/xSUtrogOTkZPn6+kqS8ufP7/EAY/To0ercubPHee12u+z2jH+N69evr5deeklRUVFq166d2rVrl+GYpk2bXvceAQAAAMA/6Z4I51LaMOedO3dq7ty5mX7fvn171apVS2PHjvUYWm6z2eR2u+V2u/XTTz8pNTXVozc9JiZGVapU0dq1ayVJv//+u3r06KFly5bpySefzHL97Ha7goODM+z38/OzHihcG3gl6dSpU9qyZYvmz5/v8fAhvQc+XWpqqtxut+x2uzp06KAOHTpIkubPn6/+/ftr586dVvAfOnSoGjdurJo1a3pc6/PPP5evr686deqkypUrq3v37vLx8ZGXV9oAjMuXLysoKMi6b+lWrVolf39/2e12/frrr5o4caJ+++03xcXFydvb23pA4XK5VLlyZauNoqOj9fvvv6tMmTJq2rSpUlNTFR8fL19fX3l7e8vLy0s+Pj7y9vaWw+GwtmvWrKmRI0dmqUfe29v7pscAAAAAwJ12z4TzRo0a6b333lPbtm3VokULj++2bNmi7du3a8aMGZKk7du3q1atWvLy8pLb7Za3t7emTZummTNnatq0aXr++eetslOmTNHy5cslSUeOHNFTTz2lDz/8UD/88IM6deokb29vud1uj7AaHx+vo0ePKiQkRNL/e5/cz8/P47jMOBwO2Ww2q3f5q6++UvHixXXx4kVVrVpVfn5+ioqKUmxsrCRp0KBBCgwMlMvl0vjx4z2GgI8YMULjx4/XsGHDtHz5csXFxenKlStau3atPvjgAw0YMECDBg2S3W7X2bNnNXz4cK1bt05Vq1ZVamqq9u3bp3379qlhw4Z6+eWXdfToUd13333y9vbWtm3bVLhwYd1///1q27atFi5cqNOnT6t79+5avXq18ufPr7CwMLVs2VJhYWGZ/qyZ9Wrny5fP6i232WxKSkpSSkqKli1bps8//1zt2rXTlStXrOMfeughxcTEeJyjW7dueuedd254nwEAAADgn3RPvHMuSeXKlVPfvn31+uuvKyEhwdqfmpqq119/Xb169VLZsmUlSTVq1JDT6dT06dP1zDPPyOl0KiQkRBcuXJCfn5/HO+dOp9Pq0S5VqpSmT5+url276syZM5o/f77WrFmjkJAQrVu3TuHh4QoPD1dycrJHL/nZs2cVEBCQ4X3z+Ph4lSpVymOfv7+/Pv/8c0lSbGys9eeKFSsqIiJC4eHheuihh/TAAw+oQoUK6tSpk8LDw3Xq1KkM72aXL19ePXv2lLe3t1wulwoXLqyaNWtq6tSpOnr0qBITE5WUlCQpLRS/8cYbatiwoYoWLapu3bpJkjVqwO1268knn1SOHDn0/PPPa8OGDTpw4IA10V6OHDl09uxZzZ49W/3791fOnDm1ePFi9erVS/7+/vr5558ztNm1Dyp8fX2VkJCgmJgYRUVFKTIyUsOGDVPbtm0VExNjDV232+1Wb/6ZM2e0bt06HT9+XMePH1ebNm2sBxcAAAAA8H/FPdNzLklvv/22fvzxR0VFRVn7tm3bpvPnz2vIkCHWPi8vLyvcSWlhL3/+/Jo6daqqVKmiPn36qEqVKgoLC5PT6bSGkvv6+qpx48aSpIsXLypfvny6//771bVrV73yyiv6+eef5Xa7PYaCS1LhwoUVHR0tHx8fK5CuXr1aLVu2VL9+/Tzqlpqaar1jPXjwYFWpUkUnT560vj916pT27dun5557Tnnz5tXcuXM1fPjwTIfE58iRQ19//fV171eXLl2soe6+vr4aMmSIEhMTVaZMGXXu3Fm7du3S5cuXtXr1aqte6e+Ely9fXq1bt9a5c+eUK1cuJSYmqn79+qpcubKmT5+uUqVKKTY2VmPGjFGdOnXk5+eX4fre3t6qUaOGvLy8FBMTozZt2sjpdGrjxo166qmnrlvvq119n9PdbHRCOofDIYfDYW1f2wMPAAAAALfLvz6cpy9R5u/vr5CQEO3atctjuPRjjz2m/fv3Kzg4WCkpKXI4HMqRI0eGAPfYY49Zf/7++++VkJCgDRs2eIRzh8OhIkWKKDAwUBEREWrYsKG8vLzkcrmUmpqqkiVLyu126/LlyypSpIgqVqyo1atXy8vLS7ly5fK43vz58/Xiiy9q6tSp6t+/f4bvJalAgQIaPXq0XnjhBWvfgAED9Nprr8nhcKh48eJq0KCBRowYoZEjR2Yo73Q6Va1aNS1atCjDdwMHDsywPFr16tV19uxZ+fn5aefOnerSpYtiY2O1Z88eNW3aVJMmTdKaNWt09OhR9evXT1JawB46dKj++usvhYaGSpLOnTunSZMmafPmzda50yemk2QFdZfLpV27dlnvnEvSlStX9Morr2j8+PFq27Zthnpn5oknnrAeaERGRuqNN97IUrlRo0Zp2LBhWToWAAAAAP6Of304P378uB5++OEMPbPx8fGS5DFBXEpKipKTk3X06FEVKVLE2u92u5WQkKDAwEBJ0qFDh/TOO+/o448/9hjW7ufnp0uXLkmSihYtquPHj+vnn3/WxIkTtWjRIvn6+ioiIkKNGjXS/v37r1vnXbt26ccff9TJkyeVkpKi3r17a/bs2RmO69evn8LDw63tr776Sps2bdLevXs1fPhwSdKYMWNUrVo1FS9e3BqKns5ut1vvkF/r/PnzGWZG37lzp/r16+fRc168eHEriFeuXFmHDh3S7t27rUnzChQooNdff13Dhw+3wvfevXsVGxurhg0bWtdq0aKF7Ha7qlevru+//16SMqxL7na7lT9/fk2YMEHz58/PcjjfuHGjSpYsad2zrOrfv7/efvttazsmJkbFihXLcnkAAAAAyKp/fTi///77M33H+Nql1K4VHR2tQ4cO6bffflPJkiX18ccfq1KlSnrzzTcVFRWlTZs26b777tP7779v9ZxfLSUlRb6+vqpVq5b69++vpk2bavXq1UpMTMx0iHm6M2fO6Pnnn1e/fv2UL18+jR8/XlWqVNFHH32kvn37Xrfc2LFj9eGHH2rJkiXWQwQpbTm2RYsWqUmTJjp8+HCGn7du3brWRHhXS1/L/HoiIyMlSRcuXFCfPn3UqFEjNW/eXDNnztSuXbu0YMECj+N37NihrVu36t1339XYsWMVHx+vy5cvKyQkRHXq1NGECRPk6+urypUrW2VSU1M9hrW3bNlSktSmTZsMS8ddz7UBX5LHbPw34ufnl+lwewAAAAC43f714Tw7vvnmG2tptffee0/PPvusihUrpu7du6ts2bIaN26cNVu6w+HIsPZ4XFycFeoCAwO1fPlyLViwQDabzQrnSUlJ8vX19XgnesWKFerSpYtq1qypQYMGSUp7H33JkiV65plntG/fPn366afKmzdvhjr7+flp2bJl+vbbb9WhQwfFxsbKz89PY8eOVZ8+ffTLL79k+v71+vXrMyyZJklRUVHq0aNHpvdnzJgx2r59u5YtWyZfX189/vjjqlevnry9vdW9e3c98sgjKlOmjHV8bGysNm/erF27dql169YqWLCgUlNT9dNPP1kTwUVEROjVV1/V0qVLVatWLUlpDzh27NhhDWtPXx/9VhQtWlQNGjTw2HftCAIAAAAAMO2eDeeZ9aima9asmQ4cOKAKFSp47J88ebIVcDdt2qRLly5p5cqVGd5hjoyMlI+Pj0dAldJ66ePj4xUbG6uyZctq8+bNKlmypDZt2qTx48dr2bJlev/99zV06FCPd97r1KmjXbt2KSwsTEWKFFHHjh01ZcoU2Ww2uVwuud1uqw6PPfaYJk+erB49eqhChQrq2bPndX9Ol8ulxo0bZ/rO+euvv55pmN+/f7/q1aunL774QuvWrdPYsWPVpEkTrV27VuPGjVPVqlV1+PBh9e/fXz179lTRokU1efJkNW3aVGXLltUPP/yg7777TlOmTNGGDRus8xYqVEiTJk1SmzZttG/fPoWGhqpQoULWu+IzZszIdMRBbGxshvkBEhISlJKSIknas2dPpj+72+3WxYsXlSNHjuveHwAAAAD4p9yz4TwxMfG6s3bnypUrQzCXPGf+njdvnn766SfVrVs3w7vPJUqU0PHjxzOU//7777V48WLlz59f48ePt/Y7nU55eXlp3759mV5XShuev2vXLi1atEiFCxe26u5yuTIdVu90Om/a03y97zt16qT58+dryZIlGb77/PPPVaJECdlsNuXIkUNOp1P79+/Xu+++q759+6p9+/a6fPmy+vTpo3379snhcGjcuHHasWOHpLTZ5CdPnqz169ercOHCGjx4sHbv3q3AwEA999xzWrFihfbu3asGDRro9OnT1nXz58/vUY/4+HjVqFFDx44d06RJkzy+i4uLs5aAy8zFixdVqlQpFS1a1GOiPwAAAAAwxebO6gu4+Nv69++vuLg4DRo0KEPY/L/k8uXLCggIyDT036r0We2bNGkiKe1hwunTp1WiRAlJ0pAhQ1S0aFF16dLlls99/Phx5cuXz2PN+Kw6d+6cChcufEtlYmJiFBwcrNxvNZXNz+fmBf6lokZ9b7oKAAAAgFHp2SA6OjrTlbWyg3AOZBHhPA3hHAAAAPe6OxHOM75UDAAAAAAA/lGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADLObrgBwtzk59BvlypXLdDUAAAAA/IvQcw4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMs5uuAHC3cLvdkqSYmBjDNQEAAABgUnomSM8ItwPhHMiiyMhISVKxYsUM1wQAAADA/wWRkZEKDg6+LecinANZlCdPHknSqVOnbtsvIP4ZMTExKlasmE6fPq1cuXKZrg6yiHa7e9F2dy/a7u5Eu929aLu7V3R0tIoXL25lhNuBcA5kkZdX2hQNwcHB/ON5l8qVKxdtdxei3e5etN3di7a7O9Fudy/a7u6VnhFuy7lu25kAAAAAAEC2EM4BAAAAADCMcA5kkZ+fn4YMGSI/Pz/TVcEtou3uTrTb3Yu2u3vRdncn2u3uRdvdve5E29nct3PudwAAAAAAcMvoOQcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAD+EefOndO2bdsUGxtruioAAPyfQzgH/n8HDx5U9erVFRISor59+yorcyVu2rRJ5cuXV2hoqD755JN/oJbITHbaTpKOHz+uPHny3OHa4Xqy027Tpk1ToUKF5OPjo6eeekoRERH/QE1xrey03ccff6wKFSqoW7duKlq0qDZt2vQP1BTXyu6/l5KUnJysSpUqaePGjXeugshUdtqtWbNmstls1qdBgwb/QE1xrb/zOxcWFqbevXvfwdrhRm617YYOHerxO5f+uZV/MwnngCSHw6FmzZrp4Ycf1q5du/THH39o1qxZNyxz8eJFNW/eXC+88IJ++eUXffPNN9qwYcM/U2FYstN2knTixAk1adJEly9fvvOVRAbZabctW7Zo0KBB+vrrr3XixAklJSXpnXfe+WcqDEt22u7o0aP66KOP9Mcff2j//v165513NHjw4H+mwrBk99/LdGPHjtXBgwfvXAWRqey22+7du3XgwAFdvnxZly9f1tKlS+98ZeHh7/zOrV69WuvXr9eIESPubCWRqey0Xb9+/azft8uXL2vfvn3Kly+fHnzwwaxf2A3AvWTJEndISIg7Pj7e7Xa73Xv37nXXrl37hmXGjx/v/s9//uN2uVxut9vt/uGHH9wvvfTSHa8rPGWn7dxut7t8+fLusWPHuvln0IzstNtXX33lXrx4sbU9Y8YM9/33339H64mMstN2v//+u/vHH3+0tpcuXequVKnSHa0nMsruv5dut9t99OhRd+7cud0lS5Z0b9iw4Q7WEtfKTrudPn3aXbBgwX+ieriB7P7OJSQkuEuXLu2ePn36na4iruPv/HuZrkuXLu6RI0feUhl6zgFJ+/btU82aNZUjRw5JUuXKlfXHH3/ctEz9+vVls9kkSTVq1NBvv/12x+sKT9lpO0latmyZ2rZte6erh+vITru9+uqrevbZZ63tI0eOqEyZMne0nsgoO233wAMPqFmzZpKkuLg4ffbZZx5tiX9Gdv+9lKSuXbuqX79+KlGixJ2sIjKRnXbbsWOHUlNTVbRoUQUGBiosLIyRYgZk93duxIgRSkxMlN1u1/r1629pKDxuj7/z76WUNsfKkiVLbvm1BMI5ICkmJkalSpWytm02m7y9vW/4f2TXlsmVK5fOnj17R+uJjLLTdpJUunTpO1013EB22y1dZGSkpk6dqh49etypKuI6/k7brVixQoUKFdL58+c1YMCAO1lNZCK7bTdz5kxFR0erT58+d7qKyER22u3o0aN6+OGHtXr1au3atUvh4eF6//33/4nq4irZabtTp07pk08+UZkyZXTq1Cn17dtXzz77LAH9H/Z3/ztlypQpevHFF5UzZ85bui7hHJBkt9vl5+fnsc/f318JCQlZLnOz43FnZKftYN7fbbcePXro0UcfVZMmTe5E9XADf6ftnnrqKa1cuVJ2u13vvvvunaoiriM7bXfx4kX1799f06dPl91uv9NVRCay0279+vXTypUrVaFCBZUvX15jxozRokWL7nRVcY3stN2sWbNUoEABrV27VgMHDtTGjRu1adMmrV279k5XF1f5O/9fl5qaqi+//FLdunW75esSzgFJefLk0cWLFz32xcbGytfXN8tlbnY87ozstB3M+zvtNmPGDP3888+aMWPGnaoebuDvtJ3dbledOnU0ceJEzZw5805VEdeRnbZ788039eqrr6pq1ap3uHa4ntvx/3O5c+fWpUuX5HA4bnf1cAPZabszZ87oySeftIJhUFCQypYtqxMnTtzRusLT3/m927Bhg0JDQ1W+fPlbvi7hHJBUvXp1/frrr9Z2eHi4HA7HDZfZurbM3r17VaRIkTtaT2SUnbaDedlttx07dujNN9/Ut99+qwIFCtzpaiIT2Wm7efPm6eOPP7a27Xa7vL2972g9kVF22+6zzz5T7ty5lTt3bm3ZskVNmzbV6NGj/4kqQ9lrtzZt2niU2blzpwoWLJihJxB3VnbarlixYkpMTLS2XS6Xzpw5w3wP/7C/89+XCxYsUKtWrbJ1XcI5IKlu3bqKjo7WnDlzJEmjR49WgwYN5O3trZiYGCUnJ2co07x5c23ZskUbNmxQSkqKxo0bp0aNGv3TVb/nZaftYF522u3ChQtq1qyZ3nvvPT388MOKi4tTXFzcP131e1522q5cuXIaOnSolixZovDwcA0ZMoQJGQ3ITtudOHFC+/fv1969e7V3715Vq1ZNX331VbaGayJ7stNulStX1ltvvaXt27dr2bJlGjRoEHN0GJCdtnvuuef0008/afHixTpz5oz69+8vh8Oh2rVr/9PVv6f9nf++XLVqlerVq5e9C9/S3O7Av9iSJUvcAQEB7vz587vz5s3rPnjwoNvtdrtLlCjhXrJkSaZlJk+e7Pbx8XGHhoa6S5Qo4T5//vw/WGOky07bud1u94kTJ1hKzaBbbbfx48e7JWX44J+Xnd+5r7/+2l2yZEl37ty53Z07d7aWp8E/K7v/XqZ7/PHHWUrNgFttN6fT6X7llVfcQUFB7vvuu889bNgwd3Jy8j9ca7jd2fudW7Zsmbtq1apuf39/d4UKFdxbtmz5B2uMdNlpu+PHj7u9vb3dsbGx2bqmze1m6j8g3dmzZ7Vr1y49+uijypcvX5bKHD9+XIcOHdLjjz+uXLly3eEa4nqy03Ywj3a7e9F2dy/a7u5Eu929aLu71z/ddoRzAAAAAAAM451zAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAuE1SUlJuuP7tzY49d+5clssDAP5dCOcAAOCuY7fbdfjwYUnSJ598In9/f4WGhlqf4OBgVatWLcvna9asmUaMGHHT49xuty5duqSdO3dq1qxZmjt3rsf3U6ZMUYUKFVSxYkVVrFhRRYoUUUhIiCpWrKjChQsrNDTU+q5ChQoaPXq0R/ny5cvr6NGjGa7boEEDzZo1K8s/DwDg7mM3XQEAAIBb5efnJz8/P0lpQT0sLMwjvK5atUrDhg2TJB07dkw+Pj4e5UuWLOmxHRISkuGYc+fOKSwsTAkJCUpISFBycrJOnz6tYsWKqUSJEipQoICKFCmi+Ph4BQYGSpJ69eqlXr16WeeYMmWKfv31V82aNUuTJk1SeHi4xo0bd8Ofy9/fX5K0f/9+devWTdu2bVNAQIB8fX1v7SYBAO4qhHMAAHBXuHLlij7++GP5+/srJSVFX3zxhQIDAzOE6nTpYfaNN95QamqqbDabEhMT9ccff+jChQvy8vp/AwjT/+x2uyVJqampypcvn6ZPn67g4GDlyZNHdrtdJUuW1Pz58z165V0ul5KSkqxQvXjxYr333nuSpJiYGCUlJWnLli2Kjo5WSkqKfvjhB0lS+/btNWTIEEmSw+GQr6+vvLy8tHHjRrndbh04cEB58uSRJHl7e1t1TE5Olt1ul81muy33FQDwfwPhHAAA3BWSkpK0efNmJSUlyel06tdff5W3t7cef/zxTI9PD68rVqyw9v33v//VyJEj1ahRI/3xxx8KCAiQJP3111+y2+365JNP9P333+vSpUt6/fXXM/RWnz17Vq1atbJ67aW0IH/fffdp3bp1kqTExERVrFhRP/zww3V7zocOHarY2FjrHBMnTtSlS5ckSXv27NGBAwfk7e2tTZs2KTQ0VLGxsVq/fr169eqlpKQkHTlyREWKFLkNdxUA8H8F4RwAANwVChYsqI0bN2rGjBnavn275syZo5IlS2rKlCn65JNPtGXLFuvYhIQE3X///ZKknj17qkGDBmrVqpV27NihmjVr6sMPP/Q4d6dOnVSuXDn169fP2teyZUv9/vvvOnDggLWvd+/e6t69u0qXLi1J8vHxUevWrT3OldUe7auP+9///qeHH35YkvTCCy/onXfeUUxMjFatWqXatWurZcuWCgsLU1hYWJbODQC4+zAhHAAAuKusXLlSkjRy5EidOXNGkvTss8/q+PHj1mfGjBnW8a+88op69OihzZs3a9myZXryySe1a9cu9e/f/6bXWrZsmb766islJSUpKSlJbrdbTqdTSUlJOnPmjLp165ahTGBgoI4fP66KFStq0qRJWrt2rSpUqKApU6Zo1apVqlixohYtWqSQkBCrzL59+1S+fHlJUpEiRTRu3DjFxMSoVq1af+teAQDuHvScAwCAu0ZERITWrVsnHx8fBQcH65lnnlHHjh1vWObhhx/W/Pnz1aZNG9lsNj322GOKiYnR1KlT1b59ez3wwAPXLevr66tdu3YpPDxckhQdHa3p06fLz89PTqdT3t7eHsc7nU61aNFCLVu2lJTWg1+9enX17t07Q5BPTk5WZGSk8ubNq6eeekpVqlSxvqtQoYLmzZsnp9NpvcsuyXo4cPWwegDAv4PNnT7zCQAAwP9xvXv3ls1m04wZM3Tw4EFNmTJFdrtd48aNU86cOa3jkpOT9eCDD2rjxo3WvubNm+v333/XwYMHFRAQoH79+ik8PFzffvttpsPaJWnMmDFaunSpmjdvbm23a9dORYoU0YULFzR37lxdvHjROr5SpUqKjo62Jm87ffq0QkJCrLpdvHhRvr6+Cg4OlsvlksPh0IULF6zyBQsW1K+//qqSJUtq/fr1atasmQICAhQbGys/Pz/Z7XblyJHDGjEAAPj3YFg7AAC4K5w4cULfffedx3D00aNHq2jRogoLC9OlS5esz3fffedRdtu2bdq7d6+qVq2qvn37SpK6du2qZ5999obXbN68ud5++22VKVNGZcqUkY+Pj4oVK6YyZcqodu3a+uqrrzyOP3DggE6dOqXw8HD17t1b5cuX1//+9z+Fh4dr/fr1Cg4O1vbt2xUeHq5Tp055BPNr1a9fX/Hx8bp06ZKefvppTZs2TVFRUQRzAPiXYlg7AAC4K5QqVUrbtm1ToUKFsnS8y+WSlDbD+ksvvaRp06apevXqKleunFq1aqUnn3xSpUqVum75//3vf2rZsqVy5cplDSOPiYnRvHnzrJ7w2NhY/fDDD5o5c6ZH2UuXLungwYNKTU1VtWrVVL9+fW3cuFHDhw+3JqoDAOBqhHMAAHDXKFOmjKS04J0evlNTU/Xtt99q2bJl1nHJycl64IEHdPjwYTVq1Ei9e/dW48aNJUkTJkxQSkqKx3mdTqfHuueSdN999+nIkSMe+0qWLKmvvvrKY53zzISGhmrmzJn63//+p6lTp2r69OmqW7euBg4cqCVLlqhJkyZq1apVhgcNKSkpHh8/P78Ms78nJyfL5XLx3jkA/MvwzjkAALjreHt76+DBgypfvrzGjx+vffv2adasWdb3q1at0oABAzRz5kxt3LhRr7/+eqbnOXz4sJ5//nkdOXJEK1euVL169SRJ27dv17PPPqvg4GCPtc7PnDmj/Pnze+yLi4tTpUqVtGTJEv3xxx/q3bu3kpKSdPjwYRUuXFgvvviiXnvtNeXNm1cOh0Nr167VjBkztHz5ci1YsEAtWrSwzhUcHKytW7cqIiJCHTt2VEBAQIZw7nQ6FRYWprFjx96OWwkA+D+CcA4AAO46Z86cUYECBeTj46O4uDglJyd7LE12K3766SdVr15dBQsWvC11W7BggQoVKqQKFSooT5481z0uKirqht8DAO4thHMAAAAAAAxjtnYAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYf8fMg6IW0TtdacAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings \n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# 设置字体和解决符号显示问题\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 读取数据\n",
    "data_path = \"Q2.xlsx\"\n",
    "data = pd.read_excel(data_path)\n",
    "data.columns = data.columns.str.replace(' ','')\n",
    "\n",
    "# 填补缺失值\n",
    "data_filled = data.fillna(0)\n",
    "\n",
    "# 定义特征列\n",
    "feature_cols = ['工作主要属于以下何种活动','您做休闲、家务活动的强度','是否参加体育锻炼','平均每天体育锻炼时间']\n",
    "\n",
    "target_col = '您有没有被社区或以上医院的医生诊断患有糖尿病'\n",
    "\n",
    "# 将数据划分为训练集和测试集\n",
    "train_features , test_features ,train_labels, test_labels = train_test_split(data_filled[feature_cols],data[target_col],test_size=0.2,random_state = 42)\n",
    "# X_train , X_test ,y_train,y_test\n",
    "# y_train\n",
    "\n",
    "# 训练模型\n",
    "model =  GradientBoostingClassifier(random_state = 42)\n",
    "model.fit(train_features,train_labels)\n",
    "# 预测测试机\n",
    "predicted_labels = model.predict(test_features)\n",
    "\n",
    "# 输出分类报告\n",
    "print(classification_report(test_labels,predicted_labels))\n",
    "\n",
    "# 获取特性重要性并创建一个DataFrame\n",
    "feature_importances = model.feature_importances_\n",
    "feature_names = train_features.columns\n",
    "feature_importances_df = pd.DataFrame({\n",
    "    '特性':feature_names,\n",
    "    '重要性':feature_importances\n",
    "})\n",
    "\n",
    "# 使用senborn创建水平条形图\n",
    "plt.figure(figsize=(10,8))\n",
    "barplot = sns.barplot(x='重要性',y='特性',\n",
    "                     data = feature_importances_df.sort_values('重要性',ascending = False).iloc[:3],\n",
    "                     ci=None,\n",
    "                     palette = sns.color_palette([\"#86F9BC\",\"#4AC087\",\"#008955\"]))\n",
    "\n",
    "plt.title('特征与糖尿病的重要性')\n",
    "plt.xlabel('相对重要性')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
